Leveraging large language models for comprehensive locomotion control in humanoid robots design

This paper investigates the utilization of large language models (LLMs) for the comprehensive control of humanoid robot locomotion. Traditional reinforcement learning (RL) approaches for robot locomotion are resource-intensive and rely heavily on manually designed reward functions. To address these...

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Bibliografski detalji

Glavni autori:	Shilong Sun, Chiyao Li, Zida Zhao, Haodong Huang, Wenfu Xu
Format:	Artigo
Jezik:	Inglês
Izdano:	KeAi Communications Co., Ltd. 2024-12-01
Serija:	Biomimetic Intelligence and Robotics
Teme:	Humanoid robots Large language models Locomotion control Reinforcement learning
Online pristup:	http://www.sciencedirect.com/science/article/pii/S2667379724000457
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